Assistance from Automated ASPECTS Software Improves Reader Performance.
Journal:
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
PMID:
33989968
Abstract
PURPOSE: To compare physicians' ability to read Alberta Stroke Program Early CT Score (ASPECTS) in patients with a large vessel occlusion within 6 hours of symptom onset when assisted by a machine learning-based automatic software tool, compared with their unassisted score.
Authors
Keywords
Aged
Automation
Carotid Artery, Internal
Clinical Competence
Female
Humans
Ischemic Stroke
Machine Learning
Magnetic Resonance Imaging
Male
Middle Aged
Middle Cerebral Artery
Neurologists
Observer Variation
Predictive Value of Tests
Prognosis
Radiographic Image Interpretation, Computer-Assisted
Radiologists
Reproducibility of Results
Software
Tomography, X-Ray Computed